4.4 Market research
Introduction - market research
Market research: process of collecting, recording and analyzing data about customers, competitors and the market.
Why organizations carry out market research?
- To reduce the risks associated with new product launches
- To predict future demand changes
- To explain patterns in sales of existing products and market trends
- To assess the most favored designs, flavors, styles, promotions and packages for a product
How organizations carry out market research
Sources of market research data
- Primary research: collection of first-hand data that are directly related to a firm’s needs.
- Secondary research: collection of data from second-hand sources.
- Qualitative research: research into the in-depth motivations behind consumer buying behavior or opinions.
- Quantitative research: research that leads to numerical results that can be presented and analyzed.
Methods of primary research
- Surveys: detailed studies of a market or geographical area to gather data on attitudes, impressions, opinions and satisfaction levels of products or businesses, by asking a section of the population.
- Interviews
- Focus groups: groups of people who are asked about their attitude towards a product, service, advertisement or new style of packaging.
- Observations
- Observational technique: qualitative method of collecting and analyzing information obtained through directly or indirectly watching and observing others in business environments’ e.g. watching consumers walk round a supermarket.
- Test marketing: marketing a new product in a geographical region before a full-scale launch.
Sources of secondary data
- Market intelligence analysis reports
- Academic journals
- Government publications
- Local libraries and local government offices
- Trade organizations
- Media reports and specialist publications
- Internal company records
- The Internet
Sample size and sampling methods
- Sample: group of people taking part in a market research survey selected to be representative of the target market overall.
- Sampling errors: errors in research caused by using a sample for data collection rather than the whole target population.
- Ways of selecting an appropriate sample:
- Quota sampling: gathering data from a group chosen out of a specific sub-group, e.g. a researcher might ask 100 individuals between the ages of 20 and 30 years.
- Random sampling: every member of the target population has an equal chance of being selected.
- Stratified sampling draws a sample from a specified sub-group or segment of the population and uses random sampling to select an appropriate number from each stratum.
- Cluster sampling: using one or a number of specific groups to draw samples from and not selecting from the whole population, e.g. using one town or region.
- Snowball sampling: using existing members of a sample study group to recruit further participants through their acquaintances.
- Convenience sampling: drawing representative selection of people because of the ease of their volunteering or selecting people because of their availability or easy access.